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      <li><a href="functions_func.xhtml#index_a"><span>a</span></a></li>
      <li><a href="functions_func_b.xhtml#index_b"><span>b</span></a></li>
      <li><a href="functions_func_c.xhtml#index_c"><span>c</span></a></li>
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      <li><a href="functions_func_g.xhtml#index_g"><span>g</span></a></li>
      <li><a href="functions_func_h.xhtml#index_h"><span>h</span></a></li>
      <li><a href="functions_func_i.xhtml#index_i"><span>i</span></a></li>
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      <li><a href="functions_func_m.xhtml#index_m"><span>m</span></a></li>
      <li class="current"><a href="functions_func_n.xhtml#index_n"><span>n</span></a></li>
      <li><a href="functions_func_o.xhtml#index_o"><span>o</span></a></li>
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      <li><a href="functions_func_q.xhtml#index_q"><span>q</span></a></li>
      <li><a href="functions_func_r.xhtml#index_r"><span>r</span></a></li>
      <li><a href="functions_func_s.xhtml#index_s"><span>s</span></a></li>
      <li><a href="functions_func_t.xhtml#index_t"><span>t</span></a></li>
      <li><a href="functions_func_u.xhtml#index_u"><span>u</span></a></li>
      <li><a href="functions_func_v.xhtml#index_v"><span>v</span></a></li>
      <li><a href="functions_func_w.xhtml#index_w"><span>w</span></a></li>
      <li><a href="functions_func_x.xhtml#index_x"><span>x</span></a></li>
      <li><a href="functions_func_y.xhtml#index_y"><span>y</span></a></li>
      <li><a href="functions_func_z.xhtml#index_z"><span>z</span></a></li>
      <li><a href="functions_func_~.xhtml#index_~"><span>~</span></a></li>
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&#160;

<h3><a class="anchor" id="index_n"></a>- n -</h3><ul>
<li>name()
: <a class="el" href="classarm__compute_1_1_kernel.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">Kernel</a>
, <a class="el" href="classarm__compute_1_1_program.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">Program</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">NamedDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_option.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">Option</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">TestCaseFactory</a>
</li>
<li>NamedDataset()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_named_dataset.xhtml#aac7326eefd026a1b948ae98ff7a8acbf">NamedDataset</a>
</li>
<li>NEAbsoluteDifferenceKernel()
: <a class="el" href="classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a3ea3f6066aa44e4322fe392abc8d6b3d">NEAbsoluteDifferenceKernel</a>
</li>
<li>NEAccumulateSquaredKernel()
: <a class="el" href="classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#a160d96f1b3b6fc7b1f5e8fd10617e34e">NEAccumulateSquaredKernel</a>
</li>
<li>NEAccumulateWeightedKernel()
: <a class="el" href="classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#a044d704971675daa53757df82be00583">NEAccumulateWeightedKernel</a>
</li>
<li>NEActivationLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#af5c940969e40e1ae12411bb025a117f2">NEActivationLayerKernel</a>
</li>
<li>NEArithmeticAdditionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ab12c64a745f0eb7e3d9380214ebe1b82">NEArithmeticAdditionKernel</a>
</li>
<li>NEArithmeticSubtractionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a5f1869dd5ea404e5f6b110ec5e356320">NEArithmeticSubtractionKernel</a>
</li>
<li>NEBatchNormalizationLayer()
: <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a25b4f1a6a344fa184fb639cc794a6994">NEBatchNormalizationLayer</a>
</li>
<li>NEBatchNormalizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a919d4b5219114921ee77fb603f27293d">NEBatchNormalizationLayerKernel</a>
</li>
<li>NEBitwiseAndKernel()
: <a class="el" href="classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a1b109ddb7c5e104d2f294cdb4b3c8046">NEBitwiseAndKernel</a>
</li>
<li>NEBitwiseNotKernel()
: <a class="el" href="classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#aa395e9208cb5dda01e4197ead2a0f5a0">NEBitwiseNotKernel</a>
</li>
<li>NEBitwiseOrKernel()
: <a class="el" href="classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a30abcfeccc7ad5e2eea807542d164167">NEBitwiseOrKernel</a>
</li>
<li>NEBitwiseXorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#aa5786af8781e59574815a07c6746943a">NEBitwiseXorKernel</a>
</li>
<li>NECannyEdge()
: <a class="el" href="classarm__compute_1_1_n_e_canny_edge.xhtml#ae8ba206ac7ec00eb2f4a1624c047faaa">NECannyEdge</a>
</li>
<li>NEChannelCombineKernel()
: <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#aad5d3f2c658449874943ee6825a25715">NEChannelCombineKernel</a>
</li>
<li>NEChannelExtractKernel()
: <a class="el" href="classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a61c8ec45550ad9df947ffb7d6fe81fb9">NEChannelExtractKernel</a>
</li>
<li>NECol2ImKernel()
: <a class="el" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a84d2ca986ac959613f3ed9c44185242c">NECol2ImKernel</a>
</li>
<li>NEColorConvertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a9b2bcb8adfe5bd1ab71a73daf10dca6d">NEColorConvertKernel</a>
</li>
<li>NEConvolutionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a230a4894adf8380eca9e8c2aac03e9b8">NEConvolutionKernel&lt; matrix_size &gt;</a>
</li>
<li>NEConvolutionLayer()
: <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml#a3dbdd29f4f94dc9d6089ce4a57d3809f">NEConvolutionLayer</a>
</li>
<li>NEConvolutionLayerReshapeWeights()
: <a class="el" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad20905ddab1af56320f0be3d9921fd6c">NEConvolutionLayerReshapeWeights</a>
</li>
<li>NEConvolutionRectangleKernel()
: <a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">NEConvolutionRectangleKernel</a>
</li>
<li>NEConvolutionSquare()
: <a class="el" href="classarm__compute_1_1_n_e_convolution_square.xhtml#afafdfc45ea7f884ce15ac5c353f2532a">NEConvolutionSquare&lt; matrix_size &gt;</a>
</li>
<li>NECumulativeDistributionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a6fa25b9f56915d8a179725e5bab75640">NECumulativeDistributionKernel</a>
</li>
<li>NEDepthConcatenate()
: <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate.xhtml#adf3e2d504472233c76388f70bff6101b">NEDepthConcatenate</a>
</li>
<li>NEDepthConcatenateKernel()
: <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_kernel.xhtml#a52e7c30c3745d09003944f64c9f49481">NEDepthConcatenateKernel</a>
</li>
<li>NEDepthConvert()
: <a class="el" href="classarm__compute_1_1_n_e_depth_convert.xhtml#a04fc944cc2e562f29c8b1099566cc07e">NEDepthConvert</a>
</li>
<li>NEDepthConvertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_depth_convert_kernel.xhtml#a880f5df3eb7f21d96561e16d6b858697">NEDepthConvertKernel</a>
</li>
<li>NEDequantizationLayer()
: <a class="el" href="classarm__compute_1_1_n_e_dequantization_layer.xhtml#a3815ed964e16372e0c2769a69e0373de">NEDequantizationLayer</a>
</li>
<li>NEDequantizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#afb04616ade20ec68717dde3bbfca541b">NEDequantizationLayerKernel</a>
</li>
<li>NEDerivative()
: <a class="el" href="classarm__compute_1_1_n_e_derivative.xhtml#a06a119e5e329e9283c4c884a1d927914">NEDerivative</a>
</li>
<li>NEDerivativeKernel()
: <a class="el" href="classarm__compute_1_1_n_e_derivative_kernel.xhtml#ac317d66b746c86ea136eb7996c897b22">NEDerivativeKernel</a>
</li>
<li>NEDirectConvolutionLayer()
: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer.xhtml#abfe12062903b497c501ad5127b77bd44">NEDirectConvolutionLayer</a>
</li>
<li>NEDirectConvolutionLayerBiasAccumulateKernel()
: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_bias_accumulate_kernel.xhtml#ac8b6093526b60ca075386f7b474f0508">NEDirectConvolutionLayerBiasAccumulateKernel</a>
</li>
<li>NEDirectConvolutionLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ac0cdf0dbaff299b1359714a7f70d6072">NEDirectConvolutionLayerKernel</a>
</li>
<li>NEEdgeNonMaxSuppressionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a7e3beb7abd77b10e6630ae83f33e558b">NEEdgeNonMaxSuppressionKernel</a>
</li>
<li>NEEdgeTraceKernel()
: <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a612c2d90812d66a7ce4c2f588b5845c4">NEEdgeTraceKernel</a>
</li>
<li>NEEqualizeHistogram()
: <a class="el" href="classarm__compute_1_1_n_e_equalize_histogram.xhtml#ae45d670bd9b55e0c7837094d5f20449e">NEEqualizeHistogram</a>
</li>
<li>NEFastCorners()
: <a class="el" href="classarm__compute_1_1_n_e_fast_corners.xhtml#a28dfc2ab33e0f3cd2fda1cbea93148f1">NEFastCorners</a>
</li>
<li>NEFastCornersKernel()
: <a class="el" href="classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#ad7651a9d61e2bbc1debf8aeea2594ae4">NEFastCornersKernel</a>
</li>
<li>NEFillArrayKernel()
: <a class="el" href="classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a3977e850ced9f5b343b76a93b0754ca0">NEFillArrayKernel</a>
</li>
<li>NEFillBorderKernel()
: <a class="el" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml#a687427caf0b665fce20cac17d238e946">NEFillBorderKernel</a>
</li>
<li>NEFillInnerBorderKernel()
: <a class="el" href="classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#aa95aec621a23e04b38a66bd777125b26">NEFillInnerBorderKernel</a>
</li>
<li>NEFullyConnectedLayer()
: <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a7998301359e064aa20ce967b45301d3b">NEFullyConnectedLayer</a>
</li>
<li>NEFullyConnectedLayerReshapeWeights()
: <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml#af20812ea72913d388a9a70f9d28e7c36">NEFullyConnectedLayerReshapeWeights</a>
</li>
<li>negate()
: <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#aa78731a2479da19c6604b3baa3ffe33d">functions</a>
</li>
<li>NEGaussian5x5()
: <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5.xhtml#a0f4449cdff5c9f8dfc0ff8ad81675abe">NEGaussian5x5</a>
</li>
<li>NEGaussian5x5HorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#ac1b9627b3909b4050f88a7f87ba65953">NEGaussian5x5HorKernel</a>
</li>
<li>NEGaussianPyramid()
: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid.xhtml#adf74ce175214d5cdbc645c05fb31b21b">NEGaussianPyramid</a>
</li>
<li>NEGaussianPyramidHalf()
: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_half.xhtml#af738e667c218a7d293fdc06925194b1f">NEGaussianPyramidHalf</a>
</li>
<li>NEGaussianPyramidHorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a1dfc79d471f28f16d94dd428e1d29abb">NEGaussianPyramidHorKernel</a>
</li>
<li>NEGaussianPyramidOrb()
: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_orb.xhtml#a944408035fc5125bab445b8241abcd90">NEGaussianPyramidOrb</a>
</li>
<li>NEGaussianPyramidVertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a7d7c6bdf235be21dd5c0dd0c17182248">NEGaussianPyramidVertKernel</a>
</li>
<li>NEGEMM()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml#abaa70c8f86d580a791200678388d0073">NEGEMM</a>
</li>
<li>NEGEMMAssemblyBaseKernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#a9338ccd0c5c5d67fbeb450d8d3c492c6">NEGEMMAssemblyBaseKernel</a>
</li>
<li>NEGEMMInterleave4x4Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#ae05d4514f4b8415dbd21e900cffb2fbc">NEGEMMInterleave4x4Kernel</a>
</li>
<li>NEGEMMLowp()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp.xhtml#a990d7ae3e66ed295763eb45a957c75db">NEGEMMLowp</a>
</li>
<li>NEGEMMLowpMatrixMultiplyKernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a8edbc004da91a133d24f0eb0e9aa8203">NEGEMMLowpMatrixMultiplyKernel</a>
</li>
<li>NEGEMMMatrixAccumulateBiasesKernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#aa3c78a8fb89c877aae90f2e76d1fe5ec">NEGEMMMatrixAccumulateBiasesKernel</a>
</li>
<li>NEGEMMMatrixAdditionKernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ab2165f92396a03786cf5e499c4d0e62c">NEGEMMMatrixAdditionKernel</a>
</li>
<li>NEGEMMMatrixMultiplyKernel()
: <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#aeef5692e383060fe73ee1eb989b96ad4">NEGEMMMatrixMultiplyKernel</a>
</li>
<li>NEGradientKernel()
: <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a7da52d0627026b852dc51dbab82a978b">NEGradientKernel</a>
</li>
<li>NEHarrisCorners()
: <a class="el" href="classarm__compute_1_1_n_e_harris_corners.xhtml#a2e2017552e622fdfca6e14066fb83806">NEHarrisCorners</a>
</li>
<li>NEHarrisScoreFP16Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_harris_score_f_p16_kernel.xhtml#a97cb6fc2b52a60bdccca7b7359df5211">NEHarrisScoreFP16Kernel&lt; block_size &gt;</a>
</li>
<li>NEHarrisScoreKernel()
: <a class="el" href="classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a18cf8876acac9c6c2b35e38d9beabe9d">NEHarrisScoreKernel&lt; block_size &gt;</a>
</li>
<li>NEHistogram()
: <a class="el" href="classarm__compute_1_1_n_e_histogram.xhtml#a15d0892c4a1aa404f5a6967b8bc49fa8">NEHistogram</a>
</li>
<li>NEHistogramKernel()
: <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#a13563fca453f4925820f84d182294b9d">NEHistogramKernel</a>
</li>
<li>NEHOGBlockNormalizationKernel()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a3f9eda786b67908885c93faf5eb55594">NEHOGBlockNormalizationKernel</a>
</li>
<li>NEHOGDescriptor()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_descriptor.xhtml#acd99c8cb08517ab807be56293aac5bec">NEHOGDescriptor</a>
</li>
<li>NEHOGDetectorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a2c0f4bf7e37cb04bf2384f4bc71b84d5">NEHOGDetectorKernel</a>
</li>
<li>NEHOGGradient()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_gradient.xhtml#ae5b673d17e79264048516b6e19e4f59e">NEHOGGradient</a>
</li>
<li>NEHOGMultiDetection()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_multi_detection.xhtml#ab89e2f74cd1d706e49bfe182c2923789">NEHOGMultiDetection</a>
</li>
<li>NEHOGOrientationBinningKernel()
: <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a5a1b3543ffcd941a0f3b5bc2b058c92e">NEHOGOrientationBinningKernel</a>
</li>
<li>NEIm2ColKernel()
: <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#aec5fb874227c941e8ac14de3d29e543b">NEIm2ColKernel</a>
</li>
<li>NEL2Normalize()
: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize.xhtml#ae22cdc5037aa25ca71d0801bf2a08b0f">NEL2Normalize</a>
</li>
<li>NEL2NormalizeKernel()
: <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_kernel.xhtml#a0f917a5a5aa2e52823145e0557847090">NEL2NormalizeKernel</a>
</li>
<li>NELaplacianPyramid()
: <a class="el" href="classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#a4b03c61f02f3e0119fa71877abb9b4b8">NELaplacianPyramid</a>
</li>
<li>NELaplacianReconstruct()
: <a class="el" href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#a1490de9008819d066ff78159afb03fe0">NELaplacianReconstruct</a>
</li>
<li>NELKTrackerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a10e6214af1515f5916f93dddd1bb3124">NELKTrackerKernel</a>
</li>
<li>NELocallyConnectedLayer()
: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_layer.xhtml#a0115186dd4cd64fcca9f32216f5d6639">NELocallyConnectedLayer</a>
</li>
<li>NELocallyConnectedMatrixMultiplyKernel()
: <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a3acd16d134e4f9fcca7a2929375194dd">NELocallyConnectedMatrixMultiplyKernel</a>
</li>
<li>NELogits1DMaxKernel()
: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a7dcfcda37359d31c2510ad865f4ca051">NELogits1DMaxKernel</a>
</li>
<li>NELogits1DNormKernel()
: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#afa2a1794ff29695536321c2430e6dcad">NELogits1DNormKernel</a>
</li>
<li>NELogits1DShiftExpSumKernel()
: <a class="el" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a4ee98193bffc997841c1eb4f43b6bb34">NELogits1DShiftExpSumKernel</a>
</li>
<li>NEMagnitudePhaseFP16Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_f_p16_kernel.xhtml#a7e0972b95a84e58a9b3c34d25989e645">NEMagnitudePhaseFP16Kernel&lt; mag_type, phase_type &gt;</a>
</li>
<li>NEMagnitudePhaseKernel()
: <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a53c147feec3c6f2912779194fa2b5513">NEMagnitudePhaseKernel&lt; mag_type, phase_type &gt;</a>
</li>
<li>NEMeanStdDev()
: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev.xhtml#a08ebd3b5f0e06c72c512d799cd9fccd2">NEMeanStdDev</a>
</li>
<li>NEMeanStdDevKernel()
: <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a6a85f552b312ad2560ae02676db95f9e">NEMeanStdDevKernel</a>
</li>
<li>NEMinMaxKernel()
: <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a14c484d0c1759b7163e3691ea1bb8bb5">NEMinMaxKernel</a>
</li>
<li>NEMinMaxLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a2f7050402558e9023ee536f50d725ba3">NEMinMaxLayerKernel</a>
</li>
<li>NEMinMaxLocation()
: <a class="el" href="classarm__compute_1_1_n_e_min_max_location.xhtml#ae1e54926ff0f8534bbd3a97d9c0fdaa2">NEMinMaxLocation</a>
</li>
<li>NEMinMaxLocationKernel()
: <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a4af86554efc6b1306d4342927e90c419">NEMinMaxLocationKernel</a>
</li>
<li>NENonLinearFilterKernel()
: <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#af7d8f3eac26e577c2c1754a7c2dab402">NENonLinearFilterKernel</a>
</li>
<li>NENonMaximaSuppression3x3Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a23a87d0179856717eec69f3b960d3e78">NENonMaximaSuppression3x3Kernel</a>
</li>
<li>NENormalizationLayer()
: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer.xhtml#ab9fb64464b613c8dfb660ce8adda169e">NENormalizationLayer</a>
</li>
<li>NENormalizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a682ef2213a5c1fd804505e572ea45700">NENormalizationLayerKernel</a>
</li>
<li>NEOpticalFlow()
: <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#ad5dfdcf45ad38c48cd725b0fdc675b34">NEOpticalFlow</a>
</li>
<li>NEPixelWiseMultiplicationKernel()
: <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a75e09a8ec40fb21b0f71421960b540a6">NEPixelWiseMultiplicationKernel</a>
</li>
<li>NEPoolingLayer()
: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer.xhtml#adfb415099e7d78f4444e0fb45e405091">NEPoolingLayer</a>
</li>
<li>NEPoolingLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ab35670d771933fa900a8cccae52cc0dd">NEPoolingLayerKernel</a>
</li>
<li>NEQuantizationLayer()
: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer.xhtml#abbcc94a884fd97848c9958b238c3a3c9">NEQuantizationLayer</a>
</li>
<li>NEQuantizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#ad62e17aadd5912b41857bdbc15730268">NEQuantizationLayerKernel</a>
</li>
<li>NEReductionOperation()
: <a class="el" href="classarm__compute_1_1_n_e_reduction_operation.xhtml#a20574f46cffa32ed112fcffa4e3af223">NEReductionOperation</a>
</li>
<li>NEReductionOperationKernel()
: <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a2a4e88f09df046635e88b16c8ec387a7">NEReductionOperationKernel</a>
</li>
<li>NERemapKernel()
: <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#a02121cbb8760314f74f08d6b36a2cbbc">NERemapKernel</a>
</li>
<li>NEROIPoolingLayer()
: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml#a25e24d127134f9fd599195250c19444b">NEROIPoolingLayer</a>
</li>
<li>NEROIPoolingLayerKernel()
: <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ad4e23818db2a0d7323fe8a7947744148">NEROIPoolingLayerKernel</a>
</li>
<li>NEScale()
: <a class="el" href="classarm__compute_1_1_n_e_scale.xhtml#a30a0363a371ac59877079c6ec1962657">NEScale</a>
</li>
<li>NEScaleKernel()
: <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#ae1d7843aaf1b5e13bf8403e44249b97a">NEScaleKernel</a>
</li>
<li>NEScharr3x3Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a625e12a0c7ab061154b39f47a4a11309">NEScharr3x3Kernel</a>
</li>
<li>NESeparableConvolutionHorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a965a154580e00968b45aa6268986cd51">NESeparableConvolutionHorKernel&lt; matrix_size &gt;</a>
</li>
<li>NESeparableConvolutionVertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ac3aaa23fc2c41fdb7a6de14841631fbd">NESeparableConvolutionVertKernel&lt; matrix_size &gt;</a>
</li>
<li>NESobel3x3Kernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#afb53206c970a06eec11dc2d7fb30819d">NESobel3x3Kernel</a>
</li>
<li>NESobel5x5()
: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5.xhtml#a60dc311f2ae26bf9447df0e95ad631de">NESobel5x5</a>
</li>
<li>NESobel5x5HorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a5f9e4b85f76463d3aab250f0f9a4873e">NESobel5x5HorKernel</a>
</li>
<li>NESobel5x5VertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#aefe5ee52a24df017a67c5fe79ac0d19f">NESobel5x5VertKernel</a>
</li>
<li>NESobel7x7()
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7.xhtml#a999f68b754259bb7c0a1003e51a31c99">NESobel7x7</a>
</li>
<li>NESobel7x7HorKernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ac9d0ac2c616250612ac3835839480cc3">NESobel7x7HorKernel</a>
</li>
<li>NESobel7x7VertKernel()
: <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ac554b9298d627c5cc4468cf77d8d568d">NESobel7x7VertKernel</a>
</li>
<li>NESoftmaxLayer()
: <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#a302bd66eed7126e9c7b0eb6bc3314ac3">NESoftmaxLayer</a>
</li>
<li>NETableLookupKernel()
: <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#aee2586f6c778ffab9ee3adbc2a6790a1">NETableLookupKernel</a>
</li>
<li>NEThresholdKernel()
: <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#a5d0259c161d942ed6ed833206c643e45">NEThresholdKernel</a>
</li>
<li>NETransposeKernel()
: <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#a46381b755f709be78595e61225c71afe">NETransposeKernel</a>
</li>
<li>NEWeightsReshapeKernel()
: <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a4d7fc5f87332371306c0b2bf907c7603">NEWeightsReshapeKernel</a>
</li>
<li>NonLinearFilterFunctions()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_non_linear_filter_functions.xhtml#ab3cbdc588aa0dfbe0c02136795360bba">NonLinearFilterFunctions</a>
</li>
<li>norm_size()
: <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a0549be3702c05e6ec1ada69a6d08e349">NormalizationLayerInfo</a>
</li>
<li>normalization_type()
: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#aed90de2ef57929727bb2159b66d04487">HOGInfo</a>
</li>
<li>NormalizationLayer()
: <a class="el" href="classarm__compute_1_1graph_1_1_normalization_layer.xhtml#a80c9fcdcfc1921c8f7dfefb59853dd19">NormalizationLayer</a>
</li>
<li>NormalizationLayerInfo()
: <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a364517fc26d500026eaa13f50db45703">NormalizationLayerInfo</a>
</li>
<li>NormalizationTypes()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_normalization_types.xhtml#a7d5012157b3227c150337f25198ceb59">NormalizationTypes</a>
</li>
<li>num_arguments_per_1D_array()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a99fde125501fae43952af222c91236cd">ICLKernel</a>
</li>
<li>num_arguments_per_1D_tensor()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a770f45838881fc061294e56d64f34386">ICLKernel</a>
</li>
<li>num_arguments_per_2D_tensor()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac734502531e7f95e25b3bf688a304a59">ICLKernel</a>
</li>
<li>num_arguments_per_3D_tensor()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a4feaae9c860cddfa843d37c953674a22">ICLKernel</a>
</li>
<li>num_arguments_per_4D_tensor()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#af24df23a978e1a46ff6714e9b9d3eef9">ICLKernel</a>
</li>
<li>num_bins()
: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#ae3664b841732a09d7749953ca5b81373">HOGInfo</a>
, <a class="el" href="classarm__compute_1_1_i_distribution1_d.xhtml#ae3664b841732a09d7749953ca5b81373">IDistribution1D</a>
</li>
<li>num_blocks_per_image()
: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#a649a86d58ff88cfd8523d6cb71d64332">HOGInfo</a>
</li>
<li>num_cells_per_block()
: <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml#adb20b5249eedf180a461ea097622fe7f">HOGInfo</a>
</li>
<li>num_channels()
: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">ITensorInfo</a>
, <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">SubTensorInfo</a>
, <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">TensorInfo</a>
, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">Accessor</a>
, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">CLAccessor</a>
, <a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#ac492280ef2d7889f1226d34743b74459">IAccessor</a>
, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">SimpleTensor&lt; T &gt;</a>
</li>
<li>num_dimensions()
: <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">Dimensions&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">ITensorInfo</a>
, <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">SubTensorInfo</a>
, <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">TensorInfo</a>
</li>
<li>num_elements()
: <a class="el" href="classarm__compute_1_1_c_l_lut.xhtml#a6dac829b4ddf4a5729ac090e73696958">CLLut</a>
, <a class="el" href="classarm__compute_1_1_i_lut.xhtml#a7a826fbb4f639c556352d1ede69187d7">ILut</a>
, <a class="el" href="classarm__compute_1_1_i_lut_allocator.xhtml#a3f7ed6a14a98f283aa700342b9cc2a01">ILutAllocator</a>
, <a class="el" href="classarm__compute_1_1_lut.xhtml#a6dac829b4ddf4a5729ac090e73696958">Lut</a>
, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">Accessor</a>
, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">CLAccessor</a>
, <a class="el" href="classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">CLLutAccessor&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">IAccessor</a>
, <a class="el" href="classarm__compute_1_1test_1_1_i_lut_accessor.xhtml#a7596bc2928432a0ac2271bc9184d692e">ILutAccessor&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">LutAccessor&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">RawLutAccessor&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">SimpleTensor&lt; T &gt;</a>
</li>
<li>num_iterations()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a30181518d2f7c76c7692e8ab99ea1808">Framework</a>
, <a class="el" href="classarm__compute_1_1_window.xhtml#a7b83048403721ed7e90d402e7cf3999b">Window</a>
</li>
<li>num_kernels()
: <a class="el" href="classarm__compute_1_1_weights_info.xhtml#ae56950468898173b9466ab93b843c967">WeightsInfo</a>
</li>
<li>num_levels()
: <a class="el" href="classarm__compute_1_1_pyramid_info.xhtml#a14af062b9f957e61e4efe171fe7065a3">PyramidInfo</a>
</li>
<li>num_models()
: <a class="el" href="classarm__compute_1_1_c_l_multi_h_o_g.xhtml#a63070a779573aae4282278bc08390329">CLMultiHOG</a>
, <a class="el" href="classarm__compute_1_1_i_multi_h_o_g.xhtml#a36ab43f5c3606001dcd2468b955f3e02">IMultiHOG</a>
, <a class="el" href="classarm__compute_1_1_multi_h_o_g.xhtml#a63070a779573aae4282278bc08390329">MultiHOG</a>
</li>
<li>num_threads()
: <a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">CPPScheduler</a>
, <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#ac24584a63e484123e3756d1b2a1c9e2f">IScheduler</a>
, <a class="el" href="classarm__compute_1_1_o_m_p_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">OMPScheduler</a>
, <a class="el" href="classarm__compute_1_1_single_thread_scheduler.xhtml#a0da94220ee1e0f4928aa31ed0d4b30f7">SingleThreadScheduler</a>
</li>
<li>num_values()
: <a class="el" href="classarm__compute_1_1_i_array.xhtml#a6dc031c18a14371984493b25a4230f59">IArray&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#ade9461ca253dd956d2d08f89dd04c6eb">ArrayAccessor&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#ade9461ca253dd956d2d08f89dd04c6eb">CLArrayAccessor&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#a19ecfde9ec6b2dda6d06cc79dd8d956c">IArrayAccessor&lt; T &gt;</a>
</li>
<li>NumPyBinLoader()
: <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#a4f32ab9a631e79fe364fed57a1d0145b">NumPyBinLoader</a>
</li>
</ul>
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